JAX is a library for array-oriented numerical computation (à la NumPy), with automatic differentiation and JIT compilation to enable high-performance machine learning research. This document provides a quick overview of essential JAX features, so …

JAX is a Python library for accelerator-oriented array computation and program transformation, designed for high-performance numerical computing and large-scale machine learning. With its updated version of Autograd, JAX can automatically differentiate native Python and NumPy functions. It can differentiate through loops, branches, recursion ...

2023年10月9日 · 本文将从框架设计API的角度理解JAX的API，并且介绍它与PyTorch相关API的转换。 有了这些概念之后，我们就能比较轻松地看懂JAX的代码，能够在PyTorch与JAX之间自由切换了。 PyTorch的 nn.Module 相关API广受欢迎，就是因为它捕捉了深度学习模型训练过程中的核心步骤。 概括来说，PyTorch里面有六个核心API： model = Model(arg_model) # 1. 模型初始化. opt = Optimizer(arg_opt, model.parameters()) # 2. 优化器初始化. y = model(x) # 3. 模型计算. …

JAX ONNX Runtime is a robust and user-friendly tool chain that enables the seamless execution of ONNX models using JAX as the backend. More specifically, this tool chain has the abilities: ONNX Model Conversion: Converts ONNX models into JAX format modules. Tested on popular large language models including GPT-2, BERT, and LLaMA.

JIT transforms指的是JAX把python函数转成一种中间语言的形式的过程，有点类似于把函数进行翻译。这种中间语言的特点是把函数的步骤进行分解，从而可以追踪数值/变量的变换轨迹。在JAX中这个任务主要由jax.make_jaxpr完成。

Using JAX requires installing two packages: jax, which is pure Python and cross-platform, and jaxlib which contains compiled binaries, and requires different builds for different operating systems and accelerators.

JAX 是一个 Python 库，用于面向加速器的数组计算和程序转换，专为高性能数值计算和大规模机器学习而设计。 JAX 提供了一个熟悉的 NumPy 风格的 API，方便研究人员和工程师采用。 JAX 包括可组合的函数转换，用于编译、批处理、自动微分和并行化。 相同的代码可以在多个后端上执行，包括 CPU、GPU 和 TPU。 如果您想训练神经网络，请使用 Flax 并从其教程开始。 对于一个基于 JAX 构建的端到端 Transformer 库，请参阅 MaxText。 JAX 本身范围狭窄，专注于高效 …

JAX behaves somewhat differently than TensorFlow in the handling of 32-bit vs. 64-bit values. However, the jax2tf lowered function always behaves like the JAX function. JAX interprets the type of Python scalars differently based on JAX_ENABLE_X64 flag. (See JAX - The Sharp Bits: Double (64bit) precision.)

JAX is a Python library for accelerator-oriented array computation and program transformation, designed for high-performance numerical computing and large-scale machine learning. It is developed by Google with contributions from Nvidia and other community contributors.

Allegiant Airlines will offer new, nonstop flights from Jacksonville International Airport (JAX) to Akron-Canton Airport (CAK), Des Moines International Airport (DSM), and Grand Rapids Gerald R. ... read more